Optimized Allocation of Loads in MMC-based Electric Vehicle Charging Infrastructure

2020 IEEE International Conference on Power Systems Technology (POWERCON) Pub Date : 2020-09-14 DOI:10.1109/POWERCON48463.2020.9230550

E. Gümrükcü, F. Ponci, A. Monti, G. Guidi, S. D'arco, J. Suul

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引用次数: 3

Abstract

Utilization of the modular multilevel converter (MMC) topology can enable transformer-less interfacing between electric vehicle (EV) charging infrastructure and the power distribution grid. Such configurations are claimed to significantly reduce the system costs, space requirements and complexity for high-power charging facilities. On the other hand, ensuring the correct operation of such system is challenging under unevenly distributed loads in the MMC arms. Proper selection of the charging points to allocate the EVs can limit the loading unbalances between the arms and phases of the MMC system. This paper presents two load allocation strategies. The first strategy takes only the present loading into account, while the second one optimizes the decision according to the individual energy demands of the EVs over time. Simulations demonstrated that the optimized strategy minimizes loading unbalances between the MMC phases and arms during the charging operations. Furthermore, it can contribute to larger demand fulfillment.

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基于mmc的电动汽车充电基础设施负荷优化分配

利用模块化多电平变换器(MMC)拓扑结构可以实现电动汽车充电基础设施与配电网之间的无变压器接口。据称，这种配置可以显著降低系统成本、空间要求和高功率充电设施的复杂性。另一方面，在MMC臂中不均匀分布的负载下，确保这种系统的正确运行是具有挑战性的。合理选择充电点来分配电动汽车，可以限制MMC系统臂与相之间的负载不平衡。本文提出了两种负载分配策略。第一种策略只考虑当前的负荷，而第二种策略则根据电动汽车的个体能源需求随着时间的推移进行优化决策。仿真结果表明，优化后的策略最大限度地减少了装药过程中MMC各阶段和各臂之间的负载不平衡。此外，它还有助于实现更大的需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2020 IEEE International Conference on Power Systems Technology (POWERCON)

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